A notebook containing implementations of different graph deep node embeddings along with benchmark graph neural network models in tensorflow. This has been taken from https://www.kaggle.com/abhilash1910/nlp-workshop-ml-india-deep-graph-learning to apply GNNs/node embeddings on NLP task.

The repository is a collection of Jupyter notebooks showcasing various projects related to graph neural networks (GNNs). Each notebook provides a detailed explanation of the project and its implementation, making it easy for users to understand and replicate the results.

This repo contains the codes and the notebooks used for the paper "Exploring Temporal GNN Embeddings for Darknet Traffic Analysis".

LightGCN recommender system pytorch-geometric/Jupyter notebook implementation with Python

Multiple algorithms on KNN & Clustering on MNIST dataset implemented in C++ & .Jupyter Notebook

This GitHub repository serves as an online notebook, dedicated to documenting study materials, ingenious ideas, or notes pertaining to Machine Learning, to provide a platform for recording such content at any given moment.